CN112804176B - Time domain deviation estimation method, device and base station - Google Patents

Time domain deviation estimation method, device and base station Download PDF

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CN112804176B
CN112804176B CN201911106025.9A CN201911106025A CN112804176B CN 112804176 B CN112804176 B CN 112804176B CN 201911106025 A CN201911106025 A CN 201911106025A CN 112804176 B CN112804176 B CN 112804176B
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time domain
data
domain deviation
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candidate time
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CN112804176A (en
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金晓成
居贝思
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Datang Mobile Communications Equipment Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/26Systems using multi-frequency codes
    • H04L27/2601Multicarrier modulation systems
    • H04L27/2647Arrangements specific to the receiver only
    • H04L27/2655Synchronisation arrangements
    • H04L27/2668Details of algorithms
    • H04L27/2669Details of algorithms characterised by the domain of operation
    • H04L27/2671Time domain
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/26Systems using multi-frequency codes
    • H04L27/2601Multicarrier modulation systems
    • H04L27/2647Arrangements specific to the receiver only
    • H04L27/2655Synchronisation arrangements
    • H04L27/2668Details of algorithms
    • H04L27/2673Details of algorithms characterised by synchronisation parameters
    • H04L27/2676Blind, i.e. without using known symbols
    • H04L27/2678Blind, i.e. without using known symbols using cyclostationarities, e.g. cyclic prefix or postfix
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00Arrangements affording multiple use of the transmission path
    • H04L5/003Arrangements for allocating sub-channels of the transmission path
    • H04L5/0048Allocation of pilot signals, i.e. of signals known to the receiver

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Abstract

The invention provides a time domain deviation estimation method, a device and a base station, wherein the time domain deviation estimation method comprises the following steps: acquiring at least one candidate time domain deviation estimation value aiming at received data; acquiring power values respectively corresponding to the at least one candidate time domain deviation estimation value according to the cyclic prefix CP corresponding to the data; and determining the time domain deviation estimated value corresponding to the data according to the at least one candidate time domain deviation estimated value and the corresponding power values respectively. According to the scheme, the time domain deviation can be accurately estimated by utilizing the properties of the frequency domain pilot frequency and the CP, and the time domain deviation which is larger (even exceeds the size of the CP) is accurately estimated, so that the time domain deviation tracking can be still completed in the environment with larger time domain deviation (or larger time domain deviation jumping), and the demodulation performance is improved; the method well solves the problems that in the time domain deviation estimation scheme in the prior art, the accuracy of the estimation result is low, and the demodulation performance is influenced.

Description

Time domain deviation estimation method, device and base station
Technical Field
The present invention relates to the field of terminal technologies, and in particular, to a time domain deviation estimation method, apparatus, and base station.
Background
Typically, the frequency domain pilots are sparsely distributed at equal intervals, as shown in fig. 1. Assuming that the number of frequency-domain pilots is L, the value of L is usually not very large (generally L is only slightly larger than the CP length of the cyclic prefix). Assuming path power P corresponding to each frequency domain pilot channeljThe strongest path (or leading path) position in the image is Pos, then the actual temporal deviation that may correspond in practice may be Pos ± n · L, where n ═ 1,0, 1. However, since L has a limited value, cyclic shift occurs after IDFT is inverse fourier transformed, and positions are all at Pos in view of the IDFT result.
If the real time domain deviation is smaller, the value of n is 0, namely the real time domain deviation is estimated; however, when the true time domain deviation is large, the estimation result Pos deviates from the true time domain deviation value; consequently, subsequent automatic time offset calibration errors result, affecting demodulation performance.
That is, the existing time domain bias estimation scheme has the problems of low accuracy of estimation results and influence on demodulation performance.
Disclosure of Invention
The invention aims to provide a time domain deviation estimation method, a time domain deviation estimation device and a base station, and aims to solve the problems that in the prior art, the time domain deviation estimation scheme has low estimation result accuracy and influences demodulation performance.
In order to solve the foregoing technical problem, an embodiment of the present invention provides a time domain bias estimation method, which is applied to a base station, and includes:
acquiring at least one candidate time domain deviation estimated value aiming at received data;
acquiring power values respectively corresponding to the at least one candidate time domain deviation estimation value according to the cyclic prefix CP corresponding to the data;
and determining the time domain deviation estimated value corresponding to the data according to the at least one candidate time domain deviation estimated value and the corresponding power values respectively.
Optionally, the obtaining at least one candidate time domain deviation estimation value for the received data includes:
acquiring at least one frequency domain pilot channel estimation value aiming at received data;
acquiring a first path position according to the at least one frequency domain pilot channel estimation value;
and acquiring at least one candidate time domain deviation estimation value according to the first path position.
Optionally, the obtaining the position of the first path according to the at least one frequency domain pilot channel estimation value includes:
obtaining at least one time domain channel estimation value according to the at least one frequency domain pilot channel estimation value;
obtaining at least one path power according to the at least one time domain channel estimation value;
And obtaining the first path position according to the at least one path power.
Optionally, the obtaining, according to the cyclic prefix CP corresponding to the data, power values corresponding to the at least one candidate time domain deviation estimation value respectively includes:
acquiring data segments in the data respectively corresponding to the at least one candidate time domain deviation estimated value according to the CP and the at least one candidate time domain deviation estimated value;
and acquiring a power value corresponding to the corresponding candidate time domain deviation estimated value according to the data segment.
Optionally, the obtaining, according to the CP and the at least one candidate time domain deviation estimation value, data segments in the data corresponding to the at least one candidate time domain deviation estimation value respectively includes:
obtaining a first data receiving time period according to the candidate time domain deviation estimated value and the CP length;
obtaining a second data receiving time period according to the candidate time domain deviation estimated value, the CP length and the frequency division multiplexing OFDM symbol length;
and acquiring data segments respectively received in the first data receiving time segment and the second data receiving time segment as the data segments corresponding to the candidate time domain deviation estimated value.
Optionally, the determining the time domain deviation estimated value corresponding to the data according to the at least one candidate time domain deviation estimated value and the corresponding power values respectively includes:
Acquiring the maximum value of the power values;
and acquiring a candidate time domain deviation estimated value corresponding to the maximum value as a time domain deviation estimated value corresponding to the data.
The embodiment of the invention also provides a base station, which comprises a memory, a processor, a transceiver and a computer program which is stored on the memory and can run on the processor; the processor implements the following steps when executing the program:
obtaining at least one candidate time domain bias estimate for data received by the transceiver;
acquiring power values respectively corresponding to the at least one candidate time domain deviation estimated value according to the cyclic prefix CP corresponding to the data;
and determining the time domain deviation estimated value corresponding to the data according to the at least one candidate time domain deviation estimated value and the corresponding power value respectively.
Optionally, the processor is specifically configured to:
obtaining at least one frequency domain pilot channel estimate for data received by the transceiver;
acquiring a first path position according to the at least one frequency domain pilot channel estimation value;
and acquiring at least one candidate time domain deviation estimation value according to the first path position.
Optionally, the processor is specifically configured to:
Obtaining at least one time domain channel estimation value according to the at least one frequency domain pilot channel estimation value;
obtaining at least one path power according to the at least one time domain channel estimation value;
and obtaining the position of the first path according to the at least one path power.
Optionally, the processor is specifically configured to:
acquiring data segments in the data respectively corresponding to the at least one candidate time domain deviation estimated value according to the CP and the at least one candidate time domain deviation estimated value;
and acquiring a power value corresponding to the corresponding candidate time domain deviation estimated value according to the data segment.
Optionally, the processor is specifically configured to:
obtaining a first data receiving time period according to the candidate time domain deviation estimated value and the CP length;
obtaining a second data receiving time period according to the candidate time domain deviation estimated value, the CP length and the frequency division multiplexing OFDM symbol length;
and acquiring data segments respectively received in the first data receiving time segment and the second data receiving time segment as the data segments corresponding to the candidate time domain deviation estimated value.
Optionally, the processor is specifically configured to:
acquiring the maximum value of the power values;
And acquiring a candidate time domain deviation estimated value corresponding to the maximum value as a time domain deviation estimated value corresponding to the data.
Embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the time domain bias estimation method described above.
The embodiment of the invention also provides a time domain deviation estimation device, which is applied to a base station and comprises the following steps:
a first obtaining module, configured to obtain at least one candidate time domain bias estimation value for received data;
a second obtaining module, configured to obtain, according to a cyclic prefix CP corresponding to the data, power values corresponding to the at least one candidate time domain deviation estimation value respectively;
and the first determining module is used for determining the time domain deviation estimated value corresponding to the data according to the at least one candidate time domain deviation estimated value and the corresponding power value respectively.
Optionally, the first obtaining module includes:
a first obtaining sub-module, configured to obtain at least one frequency domain pilot channel estimation value for received data;
the second obtaining submodule is used for obtaining the position of the first path according to the at least one frequency domain pilot channel estimation value;
And the third obtaining submodule is used for obtaining at least one candidate time domain deviation estimated value according to the first path position.
Optionally, the second obtaining sub-module includes:
a first processing unit, configured to obtain at least one time domain channel estimation value according to the at least one frequency domain pilot channel estimation value;
a second processing unit, configured to obtain at least one path power according to the at least one time domain channel estimation value;
and the third processing unit is used for obtaining the first path position according to the at least one path power.
Optionally, the second obtaining module includes:
a fourth obtaining sub-module, configured to obtain, according to the CP and the at least one candidate time domain deviation estimation value, data segments in the data corresponding to the at least one candidate time domain deviation estimation value, respectively;
and the fifth obtaining submodule is used for obtaining the power value corresponding to the corresponding candidate time domain deviation estimated value according to the data segment.
Optionally, the fourth obtaining sub-module includes:
a fourth processing unit, configured to obtain a first data receiving time period according to the candidate time domain deviation estimation value and the CP length;
a fifth processing unit, configured to obtain a second data receiving time period according to the candidate time domain deviation estimation value, the CP length, and the OFDM symbol length;
A sixth processing unit, configured to acquire data segments respectively received in the first data receiving time period and the second data receiving time period, as the data segments corresponding to the candidate time domain deviation estimation values.
Optionally, the first determining module includes:
a sixth obtaining submodule, configured to obtain a maximum value of the power values;
and a seventh obtaining submodule, configured to obtain a candidate time domain deviation estimated value corresponding to the maximum value, as the time domain deviation estimated value corresponding to the data.
The technical scheme of the invention has the following beneficial effects:
in the above scheme, the time domain deviation estimation method obtains at least one candidate time domain deviation estimation value by aiming at received data; acquiring power values respectively corresponding to the at least one candidate time domain deviation estimation value according to the cyclic prefix CP corresponding to the data; determining a time domain deviation estimated value corresponding to the data according to the at least one candidate time domain deviation estimated value and the corresponding power values respectively; the time domain deviation can be accurately estimated by utilizing the properties of the frequency domain pilot frequency and the CP, and the time domain deviation including the larger time domain deviation (even exceeding the size of the CP) is accurately estimated, so that the time domain deviation tracking can be still completed in the environment with larger time domain deviation (or larger time domain deviation jumping), and the demodulation performance is improved; the method well solves the problems that in the time domain deviation estimation scheme in the prior art, the accuracy of the estimation result is low, and the demodulation performance is influenced.
Drawings
FIG. 1 is a diagram illustrating frequency domain pilot frequency distribution in the prior art;
FIG. 2 is a schematic flow chart of a time domain deviation estimation method according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a CP-OFDM symbol based on cyclic prefix according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a specific application flow of the time domain deviation estimation method according to the embodiment of the present invention;
FIG. 5 is a first diagram illustrating a comparison of time domain deviation estimation results according to an embodiment of the present invention;
FIG. 6 is a diagram illustrating a comparison of time domain deviation estimation results according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a base station according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a time domain deviation estimation apparatus according to an embodiment of the present invention.
Detailed Description
To make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
The invention provides a time domain deviation estimation method aiming at the problems of low accuracy of estimation results and influence on demodulation performance of a time domain deviation estimation scheme in the prior art, which is applied to a base station and comprises the following steps as shown in figure 2:
step 21: acquiring at least one candidate time domain deviation estimation value aiming at received data;
Step 22: acquiring power values respectively corresponding to the at least one candidate time domain deviation estimated value according to the cyclic prefix CP corresponding to the data;
step 23: and determining the time domain deviation estimated value corresponding to the data according to the at least one candidate time domain deviation estimated value and the corresponding power value respectively.
The time domain deviation estimation method provided by the embodiment of the invention obtains at least one candidate time domain deviation estimation value aiming at received data; acquiring power values respectively corresponding to the at least one candidate time domain deviation estimated value according to the cyclic prefix CP corresponding to the data; determining a time domain deviation estimated value corresponding to the data according to the at least one candidate time domain deviation estimated value and the corresponding power values respectively; the time domain deviation can be accurately estimated by utilizing the properties of the frequency domain pilot frequency and the CP, and the time domain deviation including the larger time domain deviation (even exceeding the size of the CP) is accurately estimated, so that the time domain deviation tracking can be still completed in the environment with larger time domain deviation (or larger time domain deviation jumping), and the demodulation performance is improved; the method well solves the problems that in the prior art, the time domain deviation estimation scheme has low estimation result accuracy and influences demodulation performance.
Wherein the obtaining at least one candidate time domain bias estimate for the received data comprises: acquiring at least one frequency domain pilot channel estimation value aiming at received data; acquiring a first path position according to the at least one frequency domain pilot channel estimation value; and acquiring at least one candidate time domain deviation estimation value according to the first path position.
Specifically, the obtaining the position of the first path according to the at least one frequency domain pilot channel estimation value includes: obtaining at least one time domain channel estimation value according to the at least one frequency domain pilot channel estimation value; obtaining at least one path power according to the at least one time domain channel estimation value; and obtaining the position of the first path according to the at least one path power.
In this embodiment of the present invention, the obtaining, according to the cyclic prefix CP corresponding to the data, power values respectively corresponding to the at least one candidate time domain deviation estimation value includes: acquiring data segments in the data respectively corresponding to the at least one candidate time domain deviation estimated value according to the CP and the at least one candidate time domain deviation estimated value; and acquiring a power value corresponding to the corresponding candidate time domain deviation estimated value according to the data segment.
Specifically, the obtaining, according to the CP and the at least one candidate time domain deviation estimate, the data segment in the data corresponding to the at least one candidate time domain deviation estimate respectively includes: obtaining a first data receiving time period according to the candidate time domain deviation estimated value and the CP length; obtaining a second data receiving time period according to the candidate time domain deviation estimated value, the CP length and the frequency division multiplexing OFDM symbol length; and acquiring data segments respectively received in the first data receiving time segment and the second data receiving time segment as the data segments corresponding to the candidate time domain deviation estimated value.
Wherein the determining the time domain deviation estimation value corresponding to the data according to the at least one candidate time domain deviation estimation value and the corresponding power values respectively comprises: acquiring the maximum value of the power values; and acquiring a candidate time domain deviation estimated value corresponding to the maximum value as a time domain deviation estimated value corresponding to the data.
The time domain deviation estimation method provided by the embodiment of the invention is exemplified below.
In view of the above technical problems, an embodiment of the present invention provides a time domain deviation estimation method: the properties of the frequency domain pilot frequency and the Cyclic Prefix (CP) can be utilized to estimate a smaller time domain deviation, or estimate a larger time domain deviation (even exceeding the size of the CP), so that under some environments with larger time domain deviation (or larger time domain deviation jump), time domain deviation tracking can still be completed, and the demodulation performance is improved.
In the case that the true time domain deviation is large, the scheme provided by the embodiment of the present invention may calculate the correlation value (i.e., the power value) according to the Cyclic Prefix (CP) property by observing a plurality of possible values of the time domain deviation estimation result (i.e., the candidate time domain deviation estimation value), and select the time domain deviation estimation result with the largest correlation value as the final accurate time domain deviation estimation result; and when the true time domain deviation is small, due to the property of a Cyclic Prefix (CP), when the correlation value is maximum, the value of n is 0 (determined according to the property of the CP), so the time domain deviation estimation performance of the scheme provided by the embodiment of the invention is still good.
Specifically, consider: in a CP-OFDM (cyclic prefix based frequency division multiplexing) system, there is a Cyclic Prefix (CP) which is identical to a partial OFDM (frequency division multiplexing) symbol data, as shown in fig. 3. The scheme provided by the embodiment of the invention is shown in fig. 4, and is realized as follows:
suppose the received data is xiWherein i is 0,1, 2.; OFDM symbol length of NFFT(ii) a CP Length NCP
Suppose that the frequency domain pilot channel estimated value is H ═ H0,H1,...,HL-1]Wherein L represents the number of frequency domain pilots.
Operation 1: for H ═ H0,H1,...,HL-1]Performing inverse Fourier transform (IDFT) at L point to obtain the corresponding time domain channel estimation value h ═ h 0,h1,...,hL-1];
And operation 2: calculating power P of each path according to the obtained time domain channel estimation valuej=|hj|2Wherein j is 0,1, L-1;
operation 3: according to power P of each pathjAcquiring a first path (or strongest path) position Pos;
and operation 4: in general, even though the true time domain deviation may be large, the value range is still limited (i.e., the value range is limited no matter the true time domain deviation is large or small), i.e., it is assumed that the value range of n in Pos ± n · L is limited; for example, if n is-1, 0,1, there are three candidate time domain bias estimates, namely Pos-L, Pos + L.
Operation 5: respectively taking the corresponding data segments in the received data according to Pos-L, Pos and Pos + L, and assuming that the taken data segments comprise the data segments
Figure BDA0002271318770000081
Figure BDA0002271318770000082
And a data section
Figure BDA0002271318770000083
Figure BDA0002271318770000084
Operation 6: calculating a correlation power value (i.e. the power value) under (corresponding to) each candidate time domain deviation estimation value according to the obtained data segment, for example, a correlation power value P for the candidate time domain deviation estimation value Pos-L1=|∑x1·*(y1 *) I, the associated power value P for the candidate time domain deviation estimate Pos2=|∑x2·*(y2 *) I, the associated power value P for the candidate time domain deviation estimation value Pos + L3=|∑x3·*(y3 *) L. Wherein, y1 *Represents a pair y1Taking the conjugation, y2 *Represents a pair y2Taking the conjugation, y3 *Represents a pair y3Take conjugate,. indicates sequence dot product.
Due to the nature of the Cyclic Prefix (CP), the correlation power value is maximized due to coherent accumulation only if the candidate time domain bias estimate is accurate. Then, let PjIs the maximum value of the correlation power, then PjAnd the corresponding candidate time domain deviation estimated value is the accurate time domain deviation estimated value. Further feeding back to an automatic time offset calibration module and the like for use. Therefore, the problem that the demodulation performance is influenced by automatic time offset calibration errors under the condition that the real-time domain deviation is large is avoided.
The above operation is also applicable to the case that the true time domain deviation is small, and finally, the estimation value under the case that the true time domain deviation is small can be calculated, which is not limited herein.
In the embodiment of the present invention, a 5G system is taken as an example, where a subcarrier spacing (SCS) is 30kHz, an FFT (fast fourier transform) length (N) is 4096, an MCS (modulation and coding strategy) is 20, an SNR (signal-to-noise ratio) is 15dB, 1 transmitter and 1 receiver, an AWGN (additive white gaussian noise) channel, a true time domain offset is 4000ns (corresponding to 491.52 sampling points), and an ATC (automatic time offset calibration) is turned on, and a time domain offset estimation result is shown in fig. 5. In the prior art, the time domain deviation estimation result deviates from the true value 491.52 greatly, so that intersymbol interference (ISI) and channel estimation are affected, and the BLER (block error rate) in the prior art is 100%; in the scheme provided by the embodiment of the present invention, the time domain deviation estimation result is close to the true value 491.52, and the corresponding BLER (block error rate) is only 1%.
In addition, for example, in LTE (long term evolution) uplink, when a TA (Advanced Time Advanced) timer is reconfigured at a higher layer, a Time when a UE (terminal) transmits a data signal may change, and a base station still receives the signal according to historical aligned Time, which may cause a large Time domain reception deviation at a reconfiguration start Time, and if the Time domain reception deviation value cannot be accurately estimated, the demodulation performance of the data may be seriously affected. Taking LTE high layer reconfiguration ta (time advanced) timer as an example, where SNR is 30dB, and MCS is 2, 4, or 6, BLER is 100% due to large time domain bias estimation error in the prior art, but BLER is 0% due to accurate time domain bias estimation in the scheme provided by the embodiment of the present invention (as shown in fig. 6).
From the above, the scheme provided by the embodiment of the invention is as follows: the properties of the frequency domain pilot frequency and the Cyclic Prefix (CP) can be utilized, even under the condition that the real time domain deviation is large, the accurate time domain deviation can still be accurately estimated, so that the subsequent automatic time deviation calibration error is avoided, and the demodulation performance is not influenced; the method well solves the problems that in the prior art, the time domain deviation estimation scheme has low estimation result accuracy and influences demodulation performance.
An embodiment of the present invention further provides a base station, as shown in fig. 7, including a memory 71, a processor 72, a transceiver 73, and a computer program 74 stored on the memory 71 and operable on the processor 72; the processor 72, when executing the program, performs the steps of:
obtaining at least one candidate time domain bias estimate for data received by the transceiver 73;
acquiring power values respectively corresponding to the at least one candidate time domain deviation estimation value according to the cyclic prefix CP corresponding to the data;
and determining the time domain deviation estimated value corresponding to the data according to the at least one candidate time domain deviation estimated value and the corresponding power value respectively.
The base station in the embodiments of the present invention may further include a transceiver, which communicates with the processor, and transmits and receives data, and the like, which is not limited herein.
The base station provided by the embodiment of the invention obtains at least one candidate time domain deviation estimation value by aiming at received data; acquiring power values respectively corresponding to the at least one candidate time domain deviation estimation value according to the cyclic prefix CP corresponding to the data; determining a time domain deviation estimated value corresponding to the data according to the at least one candidate time domain deviation estimated value and the corresponding power values respectively; the time domain deviation can be accurately estimated by utilizing the properties of the frequency domain pilot frequency and the CP, and the time domain deviation including the larger time domain deviation (even exceeding the size of the CP) is accurately estimated, so that the time domain deviation tracking can be still completed in the environment with larger time domain deviation (or larger time domain deviation jumping), and the demodulation performance is improved; the method well solves the problems that in the time domain deviation estimation scheme in the prior art, the accuracy of the estimation result is low, and the demodulation performance is influenced.
Wherein the processor is specifically configured to: obtaining at least one frequency domain pilot channel estimate for data received by the transceiver; acquiring a first path position according to the at least one frequency domain pilot channel estimation value; and acquiring at least one candidate time domain deviation estimated value according to the first path position.
Specifically, the processor is specifically configured to: obtaining at least one time domain channel estimation value according to the at least one frequency domain pilot channel estimation value; obtaining at least one path power according to the at least one time domain channel estimation value; and obtaining the position of the first path according to the at least one path power.
In an embodiment of the present invention, the processor is specifically configured to: acquiring data segments in the data respectively corresponding to the at least one candidate time domain deviation estimated value according to the CP and the at least one candidate time domain deviation estimated value; and acquiring a power value corresponding to the corresponding candidate time domain deviation estimated value according to the data segment.
Specifically, the processor is specifically configured to: obtaining a first data receiving time period according to the candidate time domain deviation estimated value and the CP length; obtaining a second data receiving time period according to the candidate time domain deviation estimated value, the CP length and the frequency division multiplexing OFDM symbol length; and acquiring data segments respectively received in the first data receiving time segment and the second data receiving time segment as the data segments corresponding to the candidate time domain deviation estimated value.
Wherein the processor is specifically configured to: acquiring the maximum value of the power values; and acquiring a candidate time domain deviation estimated value corresponding to the maximum value as a time domain deviation estimated value corresponding to the data.
The implementation embodiments of the time domain deviation estimation method are all applicable to the embodiment of the base station, and the same technical effect can be achieved.
Embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the time domain bias estimation method described above.
The implementation embodiments of the time domain deviation estimation method are all applicable to the embodiment of the computer-readable storage medium, and the same technical effect can be achieved.
An embodiment of the present invention further provides a time domain deviation estimation apparatus, which is applied to a base station, as shown in fig. 8, and includes:
a first obtaining module 81, configured to obtain at least one candidate time domain deviation estimation value for received data;
a second obtaining module 82, configured to obtain, according to a cyclic prefix CP corresponding to the data, power values corresponding to the at least one candidate time domain deviation estimation value respectively;
A first determining module 83, configured to determine, according to the at least one candidate time domain deviation estimation value and the corresponding power values, a time domain deviation estimation value corresponding to the data.
The time domain deviation estimation device provided by the embodiment of the invention obtains at least one candidate time domain deviation estimation value aiming at received data; acquiring power values respectively corresponding to the at least one candidate time domain deviation estimated value according to the cyclic prefix CP corresponding to the data; determining a time domain deviation estimated value corresponding to the data according to the at least one candidate time domain deviation estimated value and the corresponding power values respectively; the time domain deviation can be accurately estimated by utilizing the properties of the frequency domain pilot frequency and the CP, and the time domain deviation including the larger time domain deviation (even exceeding the size of the CP) is accurately estimated, so that the time domain deviation tracking can be still completed in the environment with larger time domain deviation (or larger time domain deviation jumping), and the demodulation performance is improved; the method well solves the problems that in the prior art, the time domain deviation estimation scheme has low estimation result accuracy and influences demodulation performance.
Wherein, the first obtaining module includes: a first obtaining sub-module, configured to obtain at least one frequency domain pilot channel estimation value for received data; the second obtaining submodule is used for obtaining the position of the first path according to the at least one frequency domain pilot channel estimation value; and the third obtaining submodule is used for obtaining at least one candidate time domain deviation estimated value according to the head path position.
Specifically, the second obtaining sub-module includes: the first processing unit is used for obtaining at least one time domain channel estimation value according to the at least one frequency domain pilot channel estimation value; a second processing unit, configured to obtain at least one path power according to the at least one time domain channel estimation value; and the third processing unit is used for obtaining the first path position according to the at least one path power.
In an embodiment of the present invention, the second obtaining module includes: a fourth obtaining sub-module, configured to obtain, according to the CP and the at least one candidate time domain deviation estimation value, data segments in the data corresponding to the at least one candidate time domain deviation estimation value, respectively; and the fifth obtaining submodule is used for obtaining the power value corresponding to the corresponding candidate time domain deviation estimated value according to the data segment.
Specifically, the fourth obtaining sub-module includes: a fourth processing unit, configured to obtain a first data receiving time period according to the candidate time domain deviation estimation value and the CP length; a fifth processing unit, configured to obtain a second data receiving time period according to the candidate time domain deviation estimation value, the CP length, and the OFDM symbol length; a sixth processing unit, configured to acquire data segments respectively received in the first data receiving time period and the second data receiving time period, as the data segments corresponding to the candidate time domain deviation estimation values.
Wherein the first determining module comprises: a sixth obtaining submodule, configured to obtain a maximum value of the power values; and a seventh obtaining submodule, configured to obtain a candidate time domain deviation estimated value corresponding to the maximum value, as the time domain deviation estimated value corresponding to the data.
The implementation embodiments of the time domain deviation estimation method are all applicable to the embodiment of the time domain deviation estimation device, and the same technical effect can be achieved.
It should be noted that many of the functional components described in this specification are referred to as modules/sub-modules/units in order to more particularly emphasize their implementation independence.
In embodiments of the present invention, the modules/sub-modules/units may be implemented in software for execution by various types of processors. An identified module of executable code may, for instance, comprise one or more physical or logical blocks of computer instructions which may, for instance, be constructed as an object, procedure, or function. Nevertheless, the executables of an identified module need not be physically located together, but may comprise disparate instructions stored in different bits which, when joined logically together, comprise the module and achieve the stated purpose for the module.
Indeed, a module of executable code may be a single instruction, or many instructions, and may even be distributed over several different code segments, among different programs, and across several memory devices. Similarly, operational data may be identified within modules, and may be embodied in any suitable form and organized within any suitable type of data structure. The operational data may be collected as a single data set, or may be distributed over different locations including over different storage devices, and may exist, at least partially, merely as electronic signals on a system or network.
When a module can be implemented by software, considering the level of existing hardware technology, a module implemented by software may build a corresponding hardware circuit to implement a corresponding function, without considering cost, and the hardware circuit may include a conventional Very Large Scale Integration (VLSI) circuit or a gate array and an existing semiconductor such as a logic chip, a transistor, or other discrete components. A module may also be implemented in programmable hardware devices such as field programmable gate arrays, programmable array logic, programmable logic devices or the like.
While the preferred embodiments of the present invention have been described, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.

Claims (12)

1. A time domain deviation estimation method is applied to a base station and is characterized by comprising the following steps:
acquiring at least one candidate time domain deviation estimation value aiming at received data;
acquiring power values respectively corresponding to the at least one candidate time domain deviation estimation value according to the cyclic prefix CP corresponding to the data;
determining a time domain deviation estimated value corresponding to the data according to the at least one candidate time domain deviation estimated value and the corresponding power values respectively;
wherein the determining the time domain deviation estimation value corresponding to the data according to the at least one candidate time domain deviation estimation value and the corresponding power values respectively comprises:
acquiring the maximum value of the power values;
and acquiring a candidate time domain deviation estimated value corresponding to the maximum value as a time domain deviation estimated value corresponding to the data.
2. The method according to claim 1, wherein the obtaining at least one candidate time domain bias estimate value for the received data comprises:
Acquiring at least one frequency domain pilot channel estimation value aiming at received data;
acquiring a first path position according to the at least one frequency domain pilot channel estimation value;
and acquiring at least one candidate time domain deviation estimation value according to the first path position.
3. The time domain bias estimation method according to claim 2, wherein the obtaining a location of a first path according to the at least one frequency domain pilot channel estimation value comprises:
obtaining at least one time domain channel estimation value according to the at least one frequency domain pilot channel estimation value;
obtaining at least one path power according to the at least one time domain channel estimation value;
and obtaining the position of the first path according to the at least one path power.
4. The method according to claim 1, wherein the obtaining power values respectively corresponding to the at least one candidate time domain deviation estimation value according to a Cyclic Prefix (CP) corresponding to the data comprises:
acquiring data segments in the data respectively corresponding to the at least one candidate time domain deviation estimated value according to the CP and the at least one candidate time domain deviation estimated value;
and acquiring a power value corresponding to the corresponding candidate time domain deviation estimated value according to the data segment.
5. The method according to claim 4, wherein the obtaining, according to the CP and the at least one candidate time domain bias estimate, the data segments in the data corresponding to the at least one candidate time domain bias estimate respectively comprises:
obtaining a first data receiving time period according to the candidate time domain deviation estimated value and the CP length;
obtaining a second data receiving time period according to the candidate time domain deviation estimated value, the CP length and the frequency division multiplexing OFDM symbol length;
and acquiring data segments respectively received in the first data receiving time segment and the second data receiving time segment as the data segments corresponding to the candidate time domain deviation estimated value.
6. A base station comprising a memory, a processor, a transceiver, and a computer program stored on the memory and executable on the processor; wherein the processor implements the following steps when executing the program:
obtaining at least one candidate time domain bias estimate for data received by the transceiver;
acquiring power values respectively corresponding to the at least one candidate time domain deviation estimation value according to the cyclic prefix CP corresponding to the data;
Determining a time domain deviation estimated value corresponding to the data according to the at least one candidate time domain deviation estimated value and the corresponding power values respectively;
wherein the processor is specifically configured to:
acquiring the maximum value of the power values;
and acquiring a candidate time domain deviation estimated value corresponding to the maximum value as a time domain deviation estimated value corresponding to the data.
7. The base station of claim 6, wherein the processor is configured to:
obtaining at least one frequency domain pilot channel estimate for data received by the transceiver;
acquiring a first path position according to the at least one frequency domain pilot channel estimation value;
and acquiring at least one candidate time domain deviation estimation value according to the first path position.
8. The base station of claim 7, wherein the processor is specifically configured to:
obtaining at least one time domain channel estimation value according to the at least one frequency domain pilot channel estimation value;
obtaining at least one path power according to the at least one time domain channel estimation value;
and obtaining the position of the first path according to the at least one path power.
9. The base station of claim 6, wherein the processor is specifically configured to:
Acquiring data segments in the data corresponding to the at least one candidate time domain deviation estimation value respectively according to the CP and the at least one candidate time domain deviation estimation value;
and acquiring a power value corresponding to the corresponding candidate time domain deviation estimated value according to the data segment.
10. The base station of claim 9, wherein the processor is configured to:
obtaining a first data receiving time period according to the candidate time domain deviation estimated value and the CP length;
obtaining a second data receiving time period according to the candidate time domain deviation estimated value, the CP length and the frequency division multiplexing OFDM symbol length;
and acquiring data segments respectively received in the first data receiving time period and the second data receiving time period as the data segments corresponding to the candidate time domain deviation estimated value.
11. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the time-domain bias estimation method according to any one of claims 1 to 5.
12. A time domain bias estimation device applied to a base station, comprising:
a first obtaining module, configured to obtain at least one candidate time domain bias estimation value for received data;
A second obtaining module, configured to obtain, according to a cyclic prefix CP corresponding to the data, power values corresponding to the at least one candidate time domain deviation estimation value, respectively;
a first determining module, configured to determine, according to the at least one candidate time domain deviation estimation value and the corresponding power values, a time domain deviation estimation value corresponding to the data;
wherein the first determining module comprises:
a sixth obtaining submodule, configured to obtain a maximum value of the power values;
and a seventh obtaining submodule, configured to obtain a candidate time domain deviation estimated value corresponding to the maximum value, as the time domain deviation estimated value corresponding to the data.
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